{"id":"W2619350495","doi":"10.1140/epjc/s10052-017-5274-y","title":"Comparison of statistical sampling methods with ScannerBit, the GAMBIT scanning module","year":2017,"lang":"en","type":"article","venue":"The European Physical Journal C","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"H2020 Marie Skłodowska-Curie Actions; Academic Computer Centre Cyfronet, AGH University of Science and Technology; Australian Research Council; Science and Technology Facilities Council; Horizon 2020 Framework Programme; Norges Forskningsråd; Knut och Alice Wallenbergs Stiftelse; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; European Commission; National Science Foundation; Royal Society; Infrastruktura PL-Grid; University of Sydney; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Banff International Research Station for Mathematical Innovation and Discovery; University of Glasgow; Vetenskapsrådet","keywords":"Markov chain Monte Carlo; Monte Carlo method; Bayesian probability; Sampling (signal processing); Curse of dimensionality; Importance sampling; Posterior probability; Particle filter; Slice sampling","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01330468,0.001604691,0.001717887,0.002261963,0.000826114,0.002866001,0.004119991,0.001935981,0.02062598],"category_scores_gemma":[0.06202755,0.001115801,0.001599395,0.003152966,0.0009856491,0.003747768,0.003820386,0.00274791,0.007585654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001030933,"about_ca_system_score_gemma":0.002366639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005358981,"about_ca_topic_score_gemma":0.005047911,"domain_scores_codex":[0.9942909,0.003367722,0.0003014287,0.0004104048,0.001411429,0.0002180913],"domain_scores_gemma":[0.9783496,0.01415838,0.0007188476,0.003863952,0.002527992,0.0003811455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001379403,0.0003685574,0.013519,0.001143005,0.0007502909,0.0003634852,0.0005847294,0.3641058,0.003254892,0.1719708,0.0629515,0.3796085],"study_design_scores_gemma":[0.0002154907,0.0001138438,0.001549801,0.0001978099,0.00006119513,0.0002775971,0.0001183655,0.9035004,0.003957212,0.06401638,0.025878,0.0001138383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01003873,0.0006739867,0.9590112,0.0004687799,0.000153601,0.0001699123,0.001543592,0.02340828,0.004531882],"genre_scores_gemma":[0.1012856,0.0007884395,0.8732455,0.0006703298,0.00009288028,0.000952016,0.00436594,0.01632793,0.002271316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02062598,"threshold_uncertainty_score":0.07036275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04382483345771876,"score_gpt":0.3497483813412696,"score_spread":0.3059235478835509,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}